This is the readme for the models for the paper: Justus D, Dalugge D, Bothe S, Fuhrmann F, Hannes C, Kaneko H, Friedrichs D, Sosulina L, Schwa (2017) Glutamatergic synaptic integration of locomotion speed via septoentorhinal projections. Nat Neurosci 20:16-19 This NEURON code was contributed by Daniel Justus. The NEURON simulation environment is freely available from http://www.neuron.yale.edu"> These models simulate the integration of glutamatergic septo-entorhinal input by MEC pyramidal cells, stellate cells and fast-spiking interneurons. Usage: ------ Auto-launch from ModelDB or download and extract this archive, compile the mod files. For more help see https://senselab.med.yale.edu/ModelDB/NEURON_DwnldGuide.html To run the simulations use init.hoc and choose the parameters and type of simulation from the GUI: (1) Choose the cell-type (2) Simulate the somatic injection of a given current or Simulate single or rhythmic EPSPs to evaluate kinetics and summation (Supplementary Fig. 11a,b). As an example: Pressing the "Repeated EPSP" button will generate the inset 11a trace and prints on the oc> prompt: ... oc> 3 Hz avg depolarization = 1.3253572 last/first = 0.82199361 second/first = 0.84701885 6 Hz avg depolarization = 2.0933216 last/first = 0.64998273 second/first = 0.7814406 9 Hz avg depolarization = 2.5237946 last/first = 0.59448942 second/first = 0.86925789 12 Hz avg depolarization = 2.7927493 last/first = 0.57942791 second/first = 0.99281808 oc> ... The second/first values corresponds to the blue py trace in Suppl. Fig 11a: or Simulate the realistic speed-tuned glutamatergic input recorded from neurons in the MSBD using tetrodes as stored in the folder "data" (Fig. 3d-f, Supplementary Fig. 11c-m). The strength of this speed tuned input relative to randomly distributed input modeled by a Poisson process can be adjusted using the slider.